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41.
Water quality index (WQI) models are generally used in hydrochemical studies to simplify complex data into single values to reflect the overall quality. In this study, deep groundwater quality in the Chittur and Palakkad Taluks of the Bharathapuzha river basin of Kerala, India, was assessed by employing the WQI method developed by the Canadian Council of Ministers of the Environment (CCME). The assessment of overall water quality is indispensable due to the specific characteristics of the study area, such as geography, climate, over-drafting, and prevalent agricultural practices. Forty representative samples were collected from the study area for monsoon (MON) and pre-monsoon (PRM) seasons. The results showed a general increase of contents from MON to PRM. The major cations were spread in the order Ca2+>Na+>Mg2+>K+ and the anions HCO3>Cl>CO32− based on their relative abundance. Among various parameters analysed, alkalinity and bicarbonate levels during MON were comparatively high, which is indicative of carbonate weathering, and 90% of the samples failed to meet the World Health Organization (WHO, 2017)/Bureau of Indian Standards (BIS, 2012) drinking water guidelines. The CCME WQI analysis revealed that nearly 50% of the samples during each season represented good and excellent categories. The samples in the poor category comprised 10% in MON and 15% in PRM. The overall WQI exhibited 15% of poor category samples as well. The spatial depiction of CCME WQI classes helped to expose zones of degraded quality in the centre to eastward parts. The spatial and temporal variations of CCME WQI classes and different physicochemical attributes indicated the influence of common factors attributing to the deep groundwater quality. The study also revealed inland salinity at Kolluparamba and Peruvamba stations, where agricultural activities were rampant with poor surface water irrigation.  相似文献   
42.
Indentifying common priorities in shared natural resource systems constitutes an important platform for implementing adaptation and a major step in sharing a common responsibility in addressing climate change. Predominated by discourses on REDD + (Reduced Emissions from Deforestation and Forest Degradation and conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries) with little emphasis on adaptation there is a risk of lack of policy measures in addressing climate change in the Congo Basin. Forest products and ecosystem services provide security portfolios for the predominantly rural communities, and play major roles in national development programmes in both revenue and employment opportunities. Thus, raising the profile of forests in the policy arena especially in the twin roles of addressing climate change in mitigation and adaptation and achieving resilient development is crucial. Within the framework of the Congo Basin Forests and Climate Change Adaptation project (COFCCA) project, science policy dialogue was conducted to identify and prioritize forest based sectors vulnerable to climate change but important to household livelihoods and national development. The goal of the prioritization process was for the development of intervention in forest as measures for climate change adaptation in Central Africa. Participants constituted a wide range of stakeholders (government, Non Governmental Organizations, research institutions, universities, community leaders, private sectors etc.) as representatives from three countries directly involved in the project: Cameroon, Central African Republic and Democratic Republic of Congo. Building on national priorities, four forest related sectors were identified as common priorities at the regional level for focus on climate change adaptation. These sectors included: (1) energy with emphasis on fuel wood and Charcoal; (2) Water principally quality, quantity, accessibility, etc.; (3) Food with emphasis on Non Timber Forest Products, and (4) Health linked to healthcare products (medicinal plants). Using these prioritized sectors, the project focused on addressing the impacts of climate change on local communities and the development of adaptation strategies in the three pilot countries of the Congo Basin region. The four sectors constitute the key for development in the region and equally considered as priority sectors in the poverty reduction papers. Focused research on these sectors can help to inject the role of forests in national and local development and their potentials contributions to climate change adaptation in national and public discourses. Mainstreaming forest for climate change adaptation into national development planning is the key to improve policy coherence and effectiveness in forest management in the region.  相似文献   
43.
For a successful enhancement of mechanical properties of metal matrix nanocomposites, a homogeneous nanoparticle dispersion and distribution in the solidified metal is required. Mechanical mixing can be used for initial break-up of agglomerates, and its study can be simplified with dimensional analysis. Using this technique, mixing time and vortex height were assessed while varying fluid properties, impeller angle, and angular speed. Three relevant dimensionless numbers were recognized: the Reynolds (Re), Froude and Galilei (Ga) numbers. Based on blade and impeller shaft angles, a modified Froude number (Fr*) was defined. These parameters were calculated experimentally, varying angular speed from 200 to 1000 rpm for three different impeller angles: 0°, 15° and 30°. This procedure was performed with three fluids: water, and two aqueous glycerin solutions (25% and 50% by volume). Digital images were taken and processed to measure vortex height. Mixing time was measured for water at 0° impeller angle, angular speed ranging from 200 to 1200 rpm. Results showed an optimal dimensionless mixing time with respect to Re. A linear relationship was found between dimensionless vortex height and Fr*. The first had a second order polynomial relationship with the product ReFr*, regardless of impeller angle. This relationship, together with the Ga, specific for each fluid, allows scaling the results to other fluids such as molten pure aluminum. This study allows experimenting in simpler systems that involve transparent fluids, room temperature and low cost, to then elaborate a prediction of vortex height in fluids where measurements are difficult and costly, such as molten metals.  相似文献   
44.
45.
从新疆地区土壤中经驯化、分离纯化得到一株极端嗜盐菌,并对其形态特征、生理生化特性及16S rDNA同源性进行了检索比较,鉴定该菌株为伸长盐单胞菌(Halomonas elogata);其次,考察了不同因素对菌株降解偶氮染料--活性兰BRF的影响,比较了不同盐度条件下的降解率,并在30℃、5%盐度生长条件下采用单因素实验考察了该菌接菌量、染料初始浓度、初始pH等因素对活性兰BRF72h降解率的影响,采用正交试验L9(33)获得适宜的降解条件;最后,通过紫外-可见吸收光谱分析了降解产物.结果表明,该菌株耐盐范围为0~32%,最适生长盐度为5%~20%;在盐度为3%~25%条件下该菌株对活性兰BRF的降解率随着盐度的升高先升后降,5%盐度下的降解效果最佳;在30℃、5%盐度下适宜降解条件为:染料浓度100mg·L-1,pH=7,接菌量5%,72h的降解率为88.62%.紫外-可见光谱结果显示,降解产物的光谱与活性兰BRF的明显不同,可见光区的吸收峰消失,正己烷萃取液无紫外吸收,二氯甲烷萃取液出现两个紫外吸收峰,推测为芳胺类及杂环类等极性化合物;质谱分析证实,降解产物合苯甲基二胺、2,6-氨基苯酚等极性化合物.  相似文献   
46.
The U.S. Renewable Fuel Standard calls for 136 billion liters of renewable fuels production by 2022. Switchgrass (Panicum virgatum L.) has emerged as a leading candidate to be developed as a bioenergy feedstock. To reach biofuel production goals in a sustainable manner, more information is needed to characterize potential production rates of switchgrass. We used switchgrass yield data and general additive models (GAMs) to model lowland and upland switchgrass yield as nonlinear functions of climate and environmental variables. We used the GAMs and a 39-year climate dataset to assess the spatio-temporal variability in switchgrass yield due to climate variables alone. Variables associated with fertilizer application, genetics, precipitation, and management practices were the most important for explaining variability in switchgrass yield. The relationship of switchgrass yield with climate variables was different for upland than lowland cultivars. The spatio-temporal analysis showed that considerable variability in switchgrass yields can occur due to climate variables alone. The highest switchgrass yields with the lowest variability occurred primarily in the Corn Belt region, suggesting that prime cropland regions are the best suited for a constant and high switchgrass biomass yield. Given that much lignocellulosic feedstock production will likely occur in regions with less suitable climates for agriculture, interannual variability in yields should be expected and incorporated into operational planning.  相似文献   
47.
The southern pine bark beetle guild (SPBG) is arguably the most destructive group of forest insects in the southeastern USA. This guild contains five species of bark beetles (Coleoptera: Curculionidae: Scolytinae): Dendroctonus frontalis, Dendroctonus terebrans, Ips avulsus, Ips calligraphus, and Ips grandicollis. A diverse community of illicit receivers is attracted to pheromones emitted by the SPBG, including the woodborers Monochamus carolinensis and Monochamus titillator (Coleoptera: Cerambycidae). These woodborers have been traditionally classified as resource competitors; however, laboratory assays suggest that larval M. carolinensis may be facultative intraguild predators of SPBG larvae. This study used polymerase chain reaction (PCR)-based molecular gut content analyses to characterize subcortical interactions between M. titillator and members of the SPBG. The half-lives of SPBG DNA were estimated in the laboratory prior to examining these interactions in the field. A total of 271 field-collected M. titillator larvae were analyzed and 26 (9.6?%) tested positive for DNA of members of the SPBG. Of these larvae, 25 (96.2?%) tested positive for I. grandicollis and one (3.8?%) for I. calligraphus. Failure to detect D. terebrans and D. frontalis was likely due to their absence in the field. I. avulsus was present, but primers developed using adult tissues failed to amplify larval tissue. Results from this study support the hypothesis that larval Monochamus spp. are facultative intraguild predators of bark beetle larvae. Additionally, this study demonstrates the capabilities of PCR in elucidating the interactions of cryptic forest insects and provides a tool to better understand mechanisms driving southern pine beetle guild population fluctuations.  相似文献   
48.
湖南市场和污染区稻米中As、Pb、Cd污染及其健康风险评价   总被引:41,自引:4,他引:37  
为了更好地了解和评价湖南大米中As、Pb和Cd含量及其对人体的健康影响,在对湖南矿区和冶炼区水稻土壤重金属污染调查的基础上,分别以湖南各地市场大米和污染区当地生产的稻谷样品为例,对其进行重金属含量分析及对人体的健康风险评价.结果表明,湖南各地市场大米样品中As、Pb和Cd的平均含量分别是0.20、0.20和0.28mg·kg-1,其中,衡阳市场大米中的As、Pb和Cd含量最高,其次是株洲和湘潭市场的大米.污染区稻谷中As、Pb和Cd含量分布均为:谷壳糙米精米,污染区精米中As、Pb和Cd的含量分别是0.24、0.21和0.65mg·kg-1,其中,来自衡阳常宁市水口山铅/锌矿区的稻谷样品中的As、Pb和Cd含量最高,其次是株洲清水塘冶炼区和湘潭锰矿区的稻谷.与市场大米样品相比,污染区精米中As、Pb和Cd的平均含量比市场大米样品高.无论是市场大米样品,还是从污染区稻田采集的稻米,均以衡阳地区稻米中的As、Pb和Cd污染最为严重,其次为株洲和湘潭地区.在As、Pb和Cd的健康风险评价中,Cd是湖南各地稻米中影响人体健康的主要因子,株洲和湘潭的Cd污染区达到90%以上,其次是As和Pb.  相似文献   
49.
基于16S rDNA的PCR-DGGE(polymerase chain reaction-denaturing gradient gel electrophoresis)技术研究了倒置A2/O(anoxic-anaerobic-aerobic)工艺处理染织废水过程中的微生物群落结构.从兼氧、厌氧和好氧区共取6个不同处理阶段的样品,测量了不同处理阶段样品的COD、pH、NH4+-N、H2S、总磷(TP)、污泥含量(TS)、色度及其脱除率,并分析了这些指标的变化规律.结果显示,COD在处理后期降到了145mg·L-1,NH4+-N的脱除率可达到85%,硫化氢的去除率达到了90%以上,磷的脱除率可达80%以上,TS处于逐渐升高的趋势,色度的脱除率达到65%.DGGE图谱显示,好氧处理阶段的微生物多样性明显比兼氧处理和厌氧处理的阶段的要丰富.  相似文献   
50.
镉诱导长江华溪蟹肝胰腺细胞凋亡研究   总被引:7,自引:2,他引:5  
李静  闫博  刘娜  王茜  王兰 《环境科学学报》2010,30(11):2277-2284
应用显微与亚显微技术和琼脂糖凝胶电泳方法,研究了不同浓度Cd2+(0、7.25、14.50、29.00、58.00和116.00mg·L-1)处理不同时间(24、48、72和96h)对长江华溪蟹(Sinopotamon yangtsekiense)肝胰腺细胞凋亡的影响.结果显示,29.00mg·L-1Cd2+处理48h,光镜下肝胰腺细胞凋亡主要表现为染色质不规则凝聚、固缩和边集;58.00mg·L-1Cd2+处理72h,细胞核碎裂,形成凋亡小体;116mg·L-1Cd2+处理96h,出现坏死细胞;电镜下48h和72h处理组肝胰腺细胞呈现典型的细胞凋亡特征,与光镜检测结果一致,具体表现为核边集、核膜折叠、核裂解形成凋亡小体.琼脂糖凝胶电泳图谱中48和72h处理组出现凋亡细胞所特有的DNA梯状条带,58.00mg·L-1Cd2+处理72h后条带尤为清晰.随着Cd2+浓度的增加和处理时间的延长,肝胰腺中凋亡细胞所占比例呈现先升后降的趋势,凋亡指数的变化表现出显著的剂量和时间效应关系.研究表明,镉能够诱导长江华溪蟹肝胰腺出现细胞凋亡.细胞凋亡的检测及凋亡指数的变化能够灵敏地反映出镉对水生动物的胁迫程度及毒性大小,可作为水生态环境镉污染的生物评估指标.  相似文献   
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